Central Washington University

What you'll study

This programme blends core business topics with quantitative methods to prepare students to analyse and solve real organisational problems. Typical curriculum components include calculus and linear algebra, probability and statistics, intermediate and advanced econometrics, optimisation and linear programming, simulation modelling, forecasting, decision analysis, operations management, and financial and managerial accounting. Students learn data management and programming skills commonly used in analytics — for example, database fundamentals and scripting for data analysis (R, Python or similar) — plus applied courses in business analytics and quantitative decision support systems.

The degree usually combines required core business courses (management, marketing, finance) with concentration courses in quantitative methods and elective options such as supply chain analytics, risk analysis, project management, and applied econometrics. Many programmes include a senior capstone project or practicum where students apply quantitative techniques to a real organisational problem, and opportunities for internships with local and regional employers.

Entry requirements

Applicants are normally expected to have a completed secondary school qualification with a strong foundation in mathematics. Typical entry criteria include satisfactory grades in high‑school mathematics (such as precalculus, calculus or statistics) and a competitive overall academic record. Some preparation in economics, computer science or business is advantageous but not always mandatory.

Central Washington University evaluates applications holistically; candidates may also be asked to submit a personal statement or provide information about relevant coursework, extracurricular experience, and any quant‑related projects or work experience. Transfer applicants should provide college transcripts and information on completed quantitative coursework to receive course credit and placement advice.

Career prospects

Graduates with a degree in Management Sciences and Quantitative Methods are prepared for roles that require analytical problem‑solving and data‑driven decision making. Common entry‑level positions include data analyst, business or operations analyst, forecasting analyst, supply chain analyst, risk analyst, and research assistant in public or private sector organisations.

The quantitative and technical skills developed in this programme also provide a strong foundation for careers in management consulting, financial analytics, marketing analytics, and technology firms, or for continuing into graduate study in fields such as data science, statistics, business analytics, operations research or an MBA.

Why study at Central Washington University

Central Washington University offers small class sizes that emphasise faculty interaction and applied learning. The programme integrates hands‑on training in analytical software and access to computing resources so students build marketable technical skills alongside business knowledge. The university’s location and regional employer connections support internship opportunities and local practicum placements.

Students benefit from faculty who teach both theoretical and applied aspects of quantitative methods, opportunities for collaborative capstone projects with industry partners, and support services such as career advising and experiential learning that help translate classroom work into professional experience.